Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47376
Title: A Driving Simulator-Based Assessment of Traffic Calming Measures at High-to-Low Speed Transition Zones
Authors: PIRDAVANI, Ali 
SADEQI BAJESTANI, Mahdi 
Mantels, Maarten
Spooren, Thibaut
Issue Date: 2025
Publisher: MDPI
Source: Smart Cities, 8 (5) (Art N° 147)
Abstract: Effective speed management at urban entry points is essential for ensuring traffic safety and supporting sustainable mobility in smart cities. This study contributes to urban mobility planning by using a high-fidelity driving simulation to evaluate gateway designs that enhance safety and behavioral compliance at built-up entry zones. Seven gateway configurations, comprising physical (i.e., chicanes, road narrowing) and psychological (i.e., transverse markings, avenue planting) speed calming measures, were evaluated against a reference scenario. A total of 54 participants completed a 14 km simulated route under standardized conditions, with vehicle speed, acceleration/deceleration, and lateral position continuously recorded. The strongest effects were observed in designs featuring chicanes, which achieved the largest speed reductions but also induced abrupt deceleration. In contrast, the combination of road narrowing and transverse markings resulted in a smoother and more gradual deceleration, minimizing driver discomfort and lateral instability. Psychological measures alone, such as avenue planting, had a limited impact on speed behavior. These findings highlight the importance of combining physical and psychological traffic calming measures to create effective, perceptually engaging transitions that promote safer and more consistent driver responses.
Other: (This article belongs to the Special Issue Paving the Future: Sustainable Road Design and Urban Mobility in Smart Cities)
Keywords: speed transition zones;gateway design;traffic calming measures;driving simulator;urban mobility
Document URI: http://hdl.handle.net/1942/47376
e-ISSN: 2624-6511
DOI: 10.3390/smartcities8050147
Rights: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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